A Fair and Efficient Resource Allocation Algorithm for Cloud Rendering Jobs
A Hybrid NOMA-OMA Framework for Multi-User Offloading in Mobile Edge Computing System
A Lightweight I/O Throttling Service to Improve the User Experience of Mobile Devices
A Logical Reasoning Network for High-Order Complementary Cloud API Recommendation
A Resource Management Strategy for Fluid Equilibrium in Edge-Cloud Market Supporting AIGC Services
Battery Swapping Tour Optimization Problem in Dockless Electric Bike Sharing Service Systems With Distance-Aware User Incentives
CASE: Minimizing Attack Surfaces Based on Context-Aware System Call Enforcement
Collaborative Service Caching, Task Offloading, and Resource Allocation in Caching-Assisted Mobile Edge Computing
Crowdsourcing to Service Users: Work for Yourself and Get Reward
Data Re-Outsourcing Detection With Latency-Constraint for Edge Storage
Decentralized Request Dispatch for Edge-Clouds: A Diffusion-Based Reinforcement Learning Paradigm
DMSDRec: Dynamic Structure-Aware Graph Masked Autoencoder and Spatiotemporal Diffusion for Next-POI Recommendation
East: Efficient and Accurate Secure Inference Framework for Transformer
eProbe: eBPF-Enhanced Accurate Container Status Probing in Cloud-Native Systems
Feature Noise Resilient for QoS Prediction With Probabilistic Deep Supervision
FedCLR+: Tackling Onboard Label Constraints for Accurate Federated Satellite Computing
Fidelity-Aware Inference Services in DT-Assisted Edge Computing via Service Model Retraining
FlxVRM: Enabling Online Configuring Memory via Virtualization on Programmable Data Plane
Integrated Resource Allocation for Sequential Task Offloading in Edge Computing
Joint Data Placement and Service Deployment in Distributed Cloud-Edge Environment
Joint Task Offloading and Migration Optimization in UAV-Enabled Dynamic MEC Networks
Joint Time-Frequency Pseudo Anomalies for Multimodal Electrocardiogram Quality Assessment in Healthcare Service Computing
KeAD: Knowledge-enhanced Graph Attention Network for Accurate Anomaly Detection
Knowledge Transfer Service for Multi-Granular Traffic Prediction in Smart Cities
Linear Structure Analysis of Embeddings for Bias Disparity Reduction in Collaborative Filtering
Multi-Agent Reinforcement Learning for Freshness-Aware Data Sensing Model in Vehicular Crowdsensing Systems
Multi-View Trace Clustering Based on Graph Convolutional Networks in Process Mining
On-Demand and Scalable Topology Control Service for LEO Satellite Network Evolving
Online Popularity Prediction Service via Minimal Substitution Reinforcement Learning for Social Networks
Online Workload Scheduling for Social Welfare Maximization in the Computing Continuum
Optimizing Consistency in Distributed Data Services: The CP-Raft Protocol for High-Performance and Fault-Tolerant Replication
Optimizing Profit and Delay in Computing Power Network via Deep Deterministic Policy Gradient: A Task Decomposition and Computing Path Optimization Approach
Privacy-Preserving Image Retrieval in Cloud Computing via Adaptive Secret Keys and Self-Supervised Block-Augmented Pretraining
QLP-DCS: A Quality-Aware, Low-Cost, and Privacy-Preserving Data Collection Service for Mobile Crowd Sensing
Quality of Experience in Crowdsourced Energy Services
RECaching: Cost-Effective Edge Caching for Cloud Storage With Differentiated Regional Workloads
Robust Dynamic Edge Service Placement Under Spatio-Temporal Correlated Demand Uncertainty
SLICE: Energy-Efficient Satellite-Ground Co-Inference via Layer-Wise Scheduling Optimization
Sparse-FCL: Sparse Federated Continual Learning for Evolving Mobile Edge Computing Environments
Stabilizing Quality of Wi-Fi-Based Location Services Using High-Performance Distributed Stream Processing and Data Pipelines
Synthesis Rather Than Redemption: A Win-Win Rewards Program by Self-Assembling Fragments Into an Item in the Metaverse
Towards Cost-Optimal Policies for DAGs to Utilize IaaS Clouds With Online Learning
Unlocking Complexity: Harnessing Value Entropy for Advanced Multidimensional Utility Evaluation in Service Ecosystems
Integrating IoT and 6G: Applications of Edge Intelligence, Challenges, and Future Directions
A Continuous Authentication Framework for Securing Metaverse Identities
A Developer-Focused Genetic Algorithm for IoT Application Placement in the Computing Continuum
A Novel Cross-Chain Hierarchical Federated Learning Framework for Enhancing Service Security and Communication Efficiency
A Paradigm Shift in Service Research: The Case of Service Composition
A Reliable Distributed-Cloud Storage Based on Permissioned Blockchain
An End-to-End Deep Learning QoS Prediction Model Based on Temporal Context and Feature Fusion